T-Ads Sr Analyst, Data
- NY, United States
National Base Pay Range: $89,300 - $178,600
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Job details
- Pay
- National Base Pay Range: $89,300 - $178,600
- Experience
- plus 5 years of related work experience OR Advanced degree with 3 years of related experience
- Posting language
- English
- Posted
Original job description
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
This role is essential for transforming business requirements into actionable data insights that support organizational decision-making processes. It involves analyzing complex data sets, managing data lifecycle activities, and producing reports to inform business strategies. The role requires collaboration with various stakeholders to ensure data accuracy and relevance while mentoring junior analysts. Success is measured by the quality and impact of data analysis, effective communication of findings, and contribution to data governance. The work directly influences business outcomes by providing data-driven recommendations and fostering data literacy across the organization.
Analyze and interpret complex data sets to generate actionable insights that support business decision-making processes
Collaborate with stakeholders to define data requirements, capture metadata, and prepare data for analysis ensuring accuracy and completeness
Assess and monitor data quality by partnering with data stewards and quality leads to implement remediation and governance practices
Provide guidance and mentorship to junior data analysts to develop skills and promote knowledge sharing within the team
Design and maintain scalable data frameworks and technical documentation to support data architecture and standardization
Also responsible for other duties/projects as assigned by business management as needed
Education Level Acceptable Equivalent Experience Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Experience:
4-7 years Experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on- prem and cloud such as Azure, AWS and Google Cloud.
4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data
4-7 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
4-7 years Experience working with relational databases using SQL
4-7 years Experience with data visualization tools such as Power BI, Tableau etc.
2-4 years Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus
Skills:
AtTask Business Insights Business Intelligence Software Business Requirements Analysis Collaboration DAX Language Dashboard Development Data Analysis Data Integration Data Integrity Data Lake Data Management Data Modeling Data Operations Data Quality Assessments Data Science Data Visualization Data Warehousing (DW) Data-Driven Decision Making Master Data Microsoft Power Business Intelligence (BI) Python (Programming Language) Quality Assurance (QA) Reference Data SQL Databases Tableau (Software)
License/Certification
Certified Analytics Professional (CAP) SnowPro Advanced: Data Analyst CompTIA Data Analytics Plus certification Microsoft Certified: Power BI Data Analyst Associate
Total Target Cash Earnings Opportunity: $102,695 - $205,390
National Base Pay Range: $89,300 - $178,600
The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.
The base pay range reflects the compensation component of this opportunity. The candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ373768¶dox=1
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable! T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, genetic information, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
More about this job
Skills
- Decision making
- Cleaning
- Microsoft Azure
- AWS
- Google Cloud
- Presentation skills
- SQL
- Data visualization
- Microsoft Power BI
- Tableau
- Apache Hadoop
- Apache Hive
- Apache Spark
- Apache Kafka
- AtTask
- Business intelligence
- Analyse business requirements
- Collaboration
- Data analysis
- Data management
- Data modelling
- Data warehousing
- Python
- Quality assurance
- Google Analytics
- Sales
- Customer service
- Child care
- Coaching